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Performance Analysts are the strategic navigators of the financial world, meticulously evaluating investment portfolios, strategies, and asset classes to uncover true performance and identify areas for optimization. They provide the critical data and insights that drive smarter financial decisions for institutions and high-net-worth clients, ensuring accountability and maximizing returns. This role combines analytical rigor with a deep understanding of market dynamics, making it indispensable in today's complex investment landscape.
$99,010 USD
(U.S. national median, BLS, May 2022 for Financial Analysts)
Range: $60k - $150k+ USD (Entry to Senior, varies by firm and location)
8%
as fast as average (BLS, 2022-2032 for Financial Analysts)
≈17,500
openings annually (BLS, 2022-2032 for Financial Analysts)
Bachelor's degree in Finance, Economics, Accounting, or a related quantitative field; advanced degrees (MBA, Master's in Finance) or certifications (CFA, CIPM) often preferred or required for senior roles.
A Performance Analyst specializes in measuring, analyzing, and reporting the investment returns of portfolios, funds, and individual securities. This professional provides critical insights into how investments are performing relative to their benchmarks and objectives, explaining the drivers of those returns.
Unlike a general Financial Analyst who might focus on company valuations or market trends, a Performance Analyst specifically concentrates on the historical performance of investment strategies. They also differ from a Risk Analyst, who assesses potential future losses; the Performance Analyst looks backward to understand what happened and why, providing accountability and informing future investment decisions for clients and internal stakeholders.
Performance Analysts typically work in a professional office setting, often within financial institutions such as asset management firms, pension funds, or investment banks. Remote work options are increasingly common, offering flexibility.
The work environment is generally collaborative, involving frequent interaction with portfolio managers, risk managers, sales teams, and operations personnel. The pace can be moderate to fast-paced, particularly during reporting cycles or market volatility.
While the role primarily involves desk work, it demands meticulous attention to detail and strong analytical skills. The schedule is generally standard business hours, though deadlines may occasionally require extended effort, especially at month or quarter-end.
Performance Analysts regularly use specialized software for data aggregation and calculation, including platforms like FactSet, Bloomberg, and MSCI. They also extensively employ Microsoft Excel for data manipulation, modeling, and custom analysis.
Database management systems, such as SQL, are crucial for querying and extracting large datasets. Business intelligence tools like Tableau or Power BI help in visualizing performance trends and creating interactive dashboards.
Furthermore, they utilize internal portfolio management systems and risk management platforms to integrate performance data with broader investment insights. Familiarity with programming languages like Python or R for advanced statistical analysis and automation is increasingly valuable.
A Performance Analyst evaluates the efficiency and effectiveness of business operations, investment portfolios, or technological systems. They provide insights crucial for strategic decision-making and continuous improvement. Qualifications in this field are highly structured, emphasizing a blend of quantitative abilities and practical application.
Requirements for a Performance Analyst vary significantly based on seniority, the sector (e.g., finance, IT, operations), and company size. Entry-level roles often prioritize strong analytical fundamentals and tool proficiency. Senior positions demand deep domain expertise, advanced statistical modeling, and the ability to translate complex data into actionable business strategies. Large corporations may require more specialized skills in specific analytics platforms, while smaller firms often seek generalists. Geographic regions also influence requirements; for instance, financial centers like London or New York often expect specific certifications in investment performance measurement.
Formal education typically provides the foundational knowledge, but practical experience applying analytical techniques holds significant weight. Certifications, particularly in financial performance (e.g., CIPM, CFA), can significantly enhance a candidate's profile, sometimes even substituting for a master's degree. Alternative pathways, such as specialized bootcamps in data analytics or self-taught individuals with robust portfolios demonstrating analytical projects, are gaining acceptance. The skill landscape is evolving rapidly, with increasing demand for predictive analytics, machine learning applications, and advanced visualization. Performance Analysts must balance depth in specific analytical techniques with a broad understanding of business context to remain effective.
Breaking into Performance Analysis involves understanding various pathways, as there isn't one singular route. Many enter with a strong foundation in finance, economics, or mathematics, often holding a bachelor's degree in a related field. However, individuals from non-traditional backgrounds with strong analytical skills and a passion for data can also succeed, especially if they acquire relevant certifications or demonstrate practical experience through projects.
Timeline expectations vary significantly. A complete beginner might need 1-2 years to build foundational knowledge and practical skills, especially if pursuing a master's degree or a robust certification program. Career changers with transferable analytical skills might transition within 6-12 months, focusing on targeted skill development and networking. Entry strategies can differ by company size; larger financial institutions may prefer formal degrees, while smaller firms or fintech startups might prioritize demonstrable skills and a strong portfolio.
Networking and mentorship are crucial in this field. Many opportunities arise through connections, and industry insights gained from mentors can be invaluable. The hiring landscape values candidates who can not only crunch numbers but also communicate complex findings clearly and strategically. Overcoming barriers to entry often involves proactive skill acquisition, building a relevant project portfolio, and persistent networking to uncover hidden opportunities.
A Performance Analyst career requires a blend of quantitative skills and business acumen. Traditional four-year bachelor's degrees in fields like Finance, Economics, Statistics, or Business Analytics provide a strong theoretical foundation, typically costing $40,000-$100,000+ and taking four years. Master's degrees, such as an MBA with a finance or analytics specialization, or a Master of Science in Quantitative Finance, enhance career progression, requiring an additional 1-2 years and costing $30,000-$80,000+.
Alternative pathways, like specialized bootcamps or professional certifications, offer focused skill development. Data analytics bootcamps, ranging from 12-24 weeks and costing $10,000-$20,000, can quickly equip individuals with practical data manipulation and visualization skills. Self-study through online courses on platforms like Coursera or edX provides flexibility, with costs ranging from free to a few hundred dollars per course, and completion times varying from 6-18 months depending on dedication. Employers generally value a bachelor's degree for entry-level roles, though a strong portfolio and relevant certifications can compensate.
Continuous learning is crucial for Performance Analysts due to evolving tools and methodologies. Professional certifications, such as the CFA (Chartered Financial Analyst) or CIPM (Certificate in Investment Performance Measurement), are highly regarded in the investment performance sector, demonstrating advanced expertise and commitment. These certifications often require significant self-study over several years and involve examination fees. The specific educational needs vary by the industry (e.g., finance, marketing, IT) and the complexity of performance metrics involved. Practical experience, often gained through internships or entry-level roles, is as vital as theoretical knowledge for success in this analytical field.
Compensation for a Performance Analyst varies significantly based on several key factors. Geographic location plays a crucial role, with higher salaries typically found in major financial hubs like New York City, Boston, or San Francisco due to higher costs of living and concentrated industry presence. Conversely, areas with lower living expenses may offer less.
Experience and specialized skills dramatically influence earning potential. An analyst with deep expertise in specific investment strategies, complex data modeling, or advanced analytical tools like Python or R for financial data will command higher compensation. Total compensation packages often extend beyond base salary, including performance-based bonuses tied to fund performance or individual contributions, and sometimes equity or profit-sharing in asset management firms.
The size and type of employer also affect pay. Large institutional asset managers, hedge funds, or private equity firms generally offer more competitive packages than smaller boutique firms or corporate finance departments. Remote work has introduced new dynamics, allowing some analysts to pursue geographic arbitrage, earning a higher-market salary while residing in a lower-cost area. However, some firms adjust remote salaries based on the employee's location. International markets present their own unique salary scales, making direct USD comparisons complex but generally aligning with local economic conditions and industry demand.
| Level | US Median | US Average |
|---|---|---|
| Junior Performance Analyst | $65k USD | $70k USD |
| Performance Analyst | $90k USD | $95k USD |
| Senior Performance Analyst | $118k USD | $125k USD |
| Lead Performance Analyst | $148k USD | $155k USD |
| Performance Manager | $175k USD | $185k USD |
The job market for Performance Analysts remains robust, driven by the increasing complexity of investment strategies and the heightened demand for transparency and accountability in financial markets. Regulatory requirements, particularly around risk management and performance reporting, continue to fuel the need for skilled analysts. The growth outlook for this role is stable, projected to increase by approximately 6-8% over the next five years, aligning with the broader financial analysis sector.
Emerging opportunities for Performance Analysts often lie in areas like ESG (Environmental, Social, and Governance) investing, where specialized metrics and reporting are crucial. The integration of advanced analytics, machine learning, and AI is transforming the role, pushing analysts to develop stronger programming skills and data visualization capabilities to interpret vast datasets efficiently. This technological shift creates a demand for analysts who can not only calculate performance but also derive actionable insights from complex data.
Supply and demand dynamics for highly skilled Performance Analysts, particularly those proficient in specialized software or advanced statistical methods, indicate a slight shortage of qualified candidates. This imbalance creates favorable conditions for experienced professionals. While the role is generally recession-resistant due to ongoing regulatory and reporting needs, economic downturns can impact the volume of new investments, potentially slowing hiring in some segments. Geographic hotspots for these roles are concentrated in global financial centers, although remote work opportunities are expanding, allowing firms to tap into a wider talent pool.
Career progression for a Performance Analyst typically involves a deepening of analytical skills, an expansion of strategic influence, and a transition from data execution to insight generation and leadership. Professionals can advance along an individual contributor (IC) track, focusing on specialized analytical expertise and strategic impact, or transition into a management/leadership track, overseeing teams and broader analytical initiatives.
Advancement speed depends on several factors, including individual performance, the complexity of projects undertaken, and the specific industry or company size. Larger corporations may offer more structured pathways, while startups often provide opportunities for rapid skill acquisition and broader responsibilities. Specialization in areas like digital marketing analytics, financial performance, or operational efficiency can also accelerate progression.
Lateral movement opportunities within this field include transitioning to related roles such as Business Intelligence Analyst, Data Scientist, or Marketing Strategist. Continuous learning, particularly in advanced analytics tools, data visualization, and statistical modeling, remains crucial. Networking, mentorship, and contributing to industry best practices through thought leadership or certifications significantly enhance career trajectory and open alternative pathways within the broader data and analytics domain.
Assists senior analysts with data collection and basic reporting. Conducts routine data pulls and prepares standard dashboards. Supports ad-hoc analysis requests under direct supervision. Focuses on understanding data sources and ensuring data accuracy for specific projects. Decisions are guided by clear instructions from team leads.
Developing foundational skills in data extraction, cleaning, and basic statistical analysis. Proficiency with core analytical tools like Excel, SQL, and introductory BI platforms (e.g., Tableau, Power BI). Understanding key performance indicators (KPIs) relevant to the business unit. Seeking mentorship and actively learning from senior colleagues.
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View examplesPerformance Analysts play a crucial role globally, optimizing systems and processes across diverse sectors like finance, technology, and operations. Their skills in data interpretation and strategic recommendation are universally valued. International demand remains robust, driven by digital transformation and efficiency needs worldwide. Cultural nuances impact analysis methods, while certifications like CFA or Six Sigma enhance global mobility, opening doors to diverse markets and complex challenges.
Salaries for Performance Analysts vary significantly by region and experience. In North America, particularly the US, entry-level analysts earn $60,000-$80,000 USD, while experienced professionals command $90,000-$130,000 USD. Major financial hubs like New York or Toronto offer higher compensation, but also have higher living costs.
Europe shows a broad range. In the UK, salaries typically fall between £35,000-£65,000 (approx. $45,000-$85,000 USD), with London paying more. Germany offers €45,000-€75,000 (approx. $50,000-$85,000 USD), reflecting a strong economy and lower cost of living outside major cities. Scandinavian countries offer competitive salaries, but higher tax rates impact take-home pay.
In Asia-Pacific, Australia and Singapore offer strong packages, often $70,000-$110,000 AUD/SGD (approx. $50,000-$80,000 USD), with excellent purchasing power for local goods. Japan offers ¥6,000,000-¥10,000,000 (approx. $40,000-$67,000 USD), but high living costs in Tokyo can offset this. Latin America generally has lower nominal salaries, with Brazil offering R$70,000-R$120,000 (approx. $14,000-$24,000 USD), though purchasing power parity makes this more substantial locally.
Salary structures also differ, with North America often including performance bonuses and stock options. European compensation may emphasize robust social benefits, healthcare, and generous vacation time. Understanding local tax implications and benefit packages is crucial for accurate comparisons of net income and overall value.
Performance Analysts often find strong international remote work opportunities, especially within global corporations or tech companies. Their work, heavily reliant on data and analytical tools, translates well to a distributed environment. Legal and tax implications are critical; companies must navigate permanent establishment risks and local employment laws when hiring across borders. Time zone differences can be challenging for global teams, requiring flexible schedules and asynchronous communication.
Digital nomad visas in countries like Portugal, Spain, or Bali offer pathways for independent contractors. Many employers are now establishing global hiring policies, though some prefer to engage international talent through Employer of Record services. Remote work can influence salary expectations, sometimes leading to geographic arbitrage where higher-paying roles are secured in lower-cost locations. Reliable internet, a dedicated workspace, and appropriate equipment are essential for success in this setup.
Performance Analysts often qualify for skilled worker visas in popular destination countries like Canada, Australia, the UK, and Germany. These visas typically require a job offer, relevant qualifications, and sometimes a minimum salary threshold. Intra-company transfers are also common for analysts moving within multinational organizations. Credential recognition is vital; official assessments of degrees and professional certifications ensure they meet local standards.
Visa application timelines vary, generally ranging from a few weeks to several months. Many countries offer pathways to permanent residency after a few years of skilled work, particularly for those in high-demand professions. Language proficiency tests, such as IELTS or Goethe-Zertifikat, are often required, especially for non-English speaking countries. Some nations may fast-track visas for roles deemed critical to their economy. Family visas for spouses and dependents are usually available concurrently with the primary applicant's visa.
Understanding the current market realities for Performance Analysts is critical for strategic career planning. The landscape for this role has evolved considerably since 2023, influenced by post-pandemic shifts towards digital transformation and the accelerating impact of AI.
Broader economic factors, such as inflation and fluctuating interest rates, also influence investment in internal optimization roles. Market realities for Performance Analysts vary significantly based on experience level, with senior roles seeing strong demand, while entry-level positions face more competition. Geographic location and company size further dictate available opportunities and required skill sets. This analysis provides an honest assessment to help navigate these complexities.
Performance Analysts face increased competition, especially at entry levels, due to the perceived stability of the role and the widespread adoption of data analytics tools. Economic uncertainty sometimes leads companies to reduce spending on internal optimization roles, impacting hiring. Additionally, the rapid evolution of analytics platforms creates a continuous need for upskskilling, making it challenging for some to keep pace with employer expectations.
Significant opportunities exist for Performance Analysts who specialize in niche areas or possess advanced technical skills. Demand is particularly strong for those who can apply performance analysis to emerging fields like AI model optimization, sustainability reporting, or customer journey analytics. Roles focusing on financial performance within fintech or risk management are also experiencing consistent growth.
Professionals can gain a competitive edge by mastering advanced data storytelling, predictive modeling, and machine learning integration. Certifications in specific business intelligence tools or data science platforms also provide a distinct advantage. Underserved markets, particularly in sectors undergoing rapid digital transformation like healthcare or specialized manufacturing, often present better opportunities for skilled analysts.
Even amidst broader market challenges, companies are always seeking to optimize operations and improve profitability. Analysts who can directly link their insights to cost savings or revenue generation will find themselves highly valued. Strategic career moves might involve targeting companies that are heavily investing in data-driven decision-making, regardless of their immediate size or current market valuation.
Demand for Performance Analysts remains robust, but the role's nature is shifting significantly. Companies are increasingly integrating advanced analytics and AI tools to automate data collection and initial reporting, moving the analyst's focus towards strategic interpretation and actionable insights rather than raw data compilation. This means a strong command of statistical modeling, predictive analytics, and data visualization is now paramount.
Economic conditions in 2024-2025 have driven a greater emphasis on efficiency and measurable ROI across industries, directly boosting the need for analysts who can demonstrate tangible performance improvements. However, this has also led to a consolidation of roles in some organizations, where a single analyst might cover a broader scope. Salary trends are stable for experienced professionals, with a premium on those skilled in specific industry verticals like finance, marketing, or operations, alongside deep expertise in tools like Python, R, and specialized BI platforms.
Geographic variations persist; major financial hubs and tech centers still offer the highest concentration of roles, though remote opportunities are slowly normalizing, expanding the talent pool. The integration of generative AI is changing how analysts conduct initial data exploration and report generation, shifting the value proposition towards critical thinking and strategic recommendations. Employers now seek analysts who can not only interpret data but also propose and validate hypotheses, driving business outcomes.
The field of performance analysis is undergoing a significant transformation, driven by rapid advancements in data science, artificial intelligence, and real-time analytics. These technological shifts are creating new specialization opportunities that were previously unimaginable, moving beyond traditional retrospective reporting to predictive and prescriptive insights. Professionals who position themselves early in these emerging areas will gain a substantial advantage in 2025 and beyond.
Early positioning in cutting-edge specializations often leads to premium compensation and accelerated career growth. These roles address complex, evolving business challenges, making them highly valued. While established specializations remain vital, focusing on emerging areas allows analysts to become pioneers, shaping the future of the profession rather than simply reacting to it. This strategic choice balances the stability of core skills with the high reward of innovation.
Emerging specializations typically require 2-3 years to become mainstream and generate a significant volume of job opportunities. Investing in these areas now allows professionals to develop deep expertise as demand escalates. There is an inherent risk in specializing too early in nascent fields; however, the potential for high impact and leadership roles far outweighs the risks for those who choose wisely and adapt continuously. Understanding these dynamics is crucial for strategic career planning.
This specialization focuses on applying advanced machine learning models and predictive algorithms to forecast future performance trends and identify underlying drivers. It moves beyond traditional descriptive analytics to anticipate outcomes, allowing organizations to proactively adjust strategies. Performance analysts in this domain build and validate predictive models, interpret their outputs, and translate complex statistical findings into actionable business recommendations. This area is critical for businesses seeking to gain a competitive edge through foresight.
This area involves the design, implementation, and analysis of performance metrics within blockchain and decentralized autonomous organizations (DAOs). As blockchain technology matures, understanding its operational efficiency, transaction throughput, and smart contract performance becomes critical. Analysts in this niche develop specialized metrics and tools to evaluate the performance of decentralized systems, ensuring their scalability and reliability. This role is pivotal for the growing Web3 economy and its unique performance challenges.
This specialization focuses on analyzing and optimizing performance in the context of environmental, social, and governance (ESG) objectives. It involves developing metrics to measure a company's sustainability impact, ethical practices, and governance effectiveness. Performance analysts in this field track ESG data, assess its financial implications, and report on progress towards sustainability goals, aligning business performance with broader societal values. This area is driven by increasing investor and regulatory scrutiny.
This specialization applies performance analysis techniques to the complex domain of cybersecurity operations. It involves measuring the effectiveness of security controls, incident response times, and threat detection capabilities. Analysts in this role use performance data to identify vulnerabilities, optimize security infrastructure, and demonstrate the return on investment for cybersecurity initiatives. This area is vital for organizations facing escalating cyber threats and the need to quantify their resilience.
This area focuses on leveraging AI-powered tools and platforms to automate performance data collection, analysis, and reporting. Analysts in this specialization design and manage AI-driven dashboards, validate AI-generated insights, and train AI models to identify performance anomalies and opportunities. They ensure the accuracy and reliability of automated performance intelligence, allowing for faster, more scalable insights. This role bridges traditional performance analysis with advanced AI capabilities.
Making informed career decisions requires understanding both the benefits and challenges of a specific profession. A career as a Performance Analyst offers distinct advantages but also presents unique difficulties. It is important to recognize that individual experiences can vary significantly based on the employer's culture, the industry sector (e.g., asset management, pension funds), and the specific investment strategies involved. Furthermore, the nature of pros and cons may evolve as one progresses from an entry-level position to a more senior role. What one person views as a benefit, such as deep analytical work, another might see as a drawback due to less client interaction. This assessment provides an honest, balanced perspective to help set realistic expectations for this specialized financial role.
Performance Analysts face distinct challenges balancing data interpretation with strategic business impact. This section addresses key questions about entering this role, from mastering analytical tools to effectively communicating insights that drive organizational performance. It covers common uncertainties about required skills and career progression.
A bachelor's degree in a quantitative field like finance, economics, statistics, or business analytics is typically required. Many successful Performance Analysts also hold certifications like the CFA (Chartered Financial Analyst) or CIPM (Certificate in Investment Performance Measurement), especially in investment-focused roles. Practical experience with data analysis tools like Excel, SQL, and business intelligence platforms is also crucial.
Entry-level Performance Analyst roles can be secured with a relevant bachelor's degree and strong internship experience. Building proficiency in data manipulation, statistical analysis, and reporting tools generally takes 6-12 months of focused learning for someone new to the field. Securing a first role usually involves showcasing projects or case studies demonstrating analytical capabilities.
Starting salaries for Performance Analysts vary based on location, industry, and specific responsibilities, but typically range from $55,000 to $75,000 annually. With 3-5 years of experience, this can increase significantly, often reaching $80,000 to $120,000 or more for senior roles. Industry-specific certifications can also positively impact earning potential.
The work-life balance for a Performance Analyst is generally stable, primarily Monday-Friday during business hours. However, peak periods like quarterly or annual reporting cycles can involve longer hours to meet deadlines. While it's not a field known for extreme overtime, the demands for accuracy and timely delivery can create pressure during these specific times.
The job market for Performance Analysts is stable and growing, driven by the increasing need for data-driven decision-making across various industries. Companies constantly seek to optimize operations and investments, ensuring a steady demand for professionals who can measure and interpret performance. Roles exist in finance, marketing, operations, and IT departments, offering diverse opportunities.
Career growth for Performance Analysts often leads to senior analyst positions, managing teams, or specializing in areas like investment performance, operational efficiency, or marketing analytics. Many also transition into roles such as Business Intelligence Developer, Data Scientist, or Management Consultant, leveraging their analytical and strategic skills. Continuous learning in advanced analytics and data visualization tools is key for advancement.
While some Performance Analyst roles can be fully remote, especially in larger organizations with established remote work policies, many still prefer or require a hybrid model. The need for collaborative analysis with various departments and access to secure internal systems often influences the preference for in-office presence. Remote opportunities are more common for experienced analysts.
A common challenge is translating complex analytical findings into clear, actionable insights for non-technical stakeholders. Performance Analysts must develop strong communication and presentation skills to effectively convey the 'story' behind the numbers. Another challenge involves managing large datasets and ensuring data integrity, which requires strong attention to detail and problem-solving abilities.
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Assess your readinessPerforms independent data analysis to identify trends, patterns, and insights. Develops and maintains complex dashboards and reports. Collaborates with stakeholders to understand their analytical needs and translate them into actionable insights. Presents findings to internal teams. Manages smaller analytical projects with moderate supervision.
Mastering advanced data manipulation and statistical techniques. Developing strong data visualization skills to communicate insights effectively. Building expertise in one or more analytical tools or programming languages (e.g., Python, R). Improving problem-solving abilities and beginning to identify patterns and trends independently. Enhancing presentation and communication skills for diverse audiences.
Leads complex analytical projects from conception to completion. Provides strategic insights and recommendations based on deep data analysis. Mentors and guides junior analysts, contributing to their development. Acts as a subject matter expert for specific data domains or analytical techniques. Influences business decisions through compelling data narratives and presentations to mid-level management.
Leading end-to-end analytical projects, including problem definition, methodology selection, and insight delivery. Mentoring junior team members and reviewing their work. Developing strategic thinking to connect analytical findings to business objectives. Cultivating strong stakeholder management and influencing skills. Exploring advanced analytical methodologies or specialized domains.
Sets the analytical direction and best practices for a specific domain or product line. Oversees multiple complex analytical initiatives simultaneously. Provides technical leadership and guidance to a team of analysts, ensuring high-quality outputs. Collaborates extensively with senior leadership to define key performance questions and measure strategic initiatives. Accountable for the overall analytical output and its impact on business outcomes.
Driving the analytical strategy for a specific business area or product. Evaluating and recommending new analytical tools and methodologies. Fostering a culture of data-driven decision-making across departments. Developing leadership skills, including conflict resolution and team motivation. Contributing to the hiring and onboarding of new analytical talent. Building a professional network within the industry.
Manages a team of performance analysts, overseeing their projects, professional development, and performance. Establishes the overall analytical strategy and roadmap for a department or business unit. Responsible for the team's output, ensuring it meets business needs and delivers measurable impact. Serves as a key liaison between the analytics team and executive leadership, translating business challenges into analytical solutions and communicating complex insights.
Developing strong people management skills, including performance reviews, career development, and team building. Focusing on strategic planning and resource allocation for the analytics function. Building cross-functional relationships at senior levels. Understanding broader business objectives and aligning analytical efforts with organizational goals. Driving innovation in analytical capabilities and processes.
Ready to take the next step? Browse the latest Performance Analyst opportunities from top companies.
United States onlyEmployee count: 1001-5000
Salary: 87k-107k USD
United States onlyEmployee count: 5000+
Salary: 270k-380k USD
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